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J Mol Evol. 2001 Dec;53(6):660-9.

Assessing variability by joint sampling of alignments and mutation rates.

Author information

1
Johann Wolfgang Goethe-Universit├Ąt, Fachbereich Mathematik, D-60054 Frankfurt am Main, Germany. dmetzler@math.uni-frankfurt.de

Abstract

When two sequences are aligned with a single set of alignment parameters, or when mutation parameters are estimated on the basis of a single "optimal" sequence alignment, the variability of both the alignment and the estimated parameters can be seriously underestimated. To obtain a more realistic impression of the actual uncertainty, we propose sampling sequence alignments and mutation parameters simultaneously from their joint posterior distribution given the two original sequences. We illustrate our method with human and orangutan sequences from the hyper variable region I and with gene-pseudogene pairs.

PMID:
11677626
DOI:
10.1007/s002390010253
[Indexed for MEDLINE]

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